Synthetic guidance channels are useful tools to study the mechanisms underlying peripheral nerve regeneration. In the present study, the lumen of silicone elastomer tubes was divided into two compartments by a polymer strip 10 mm long placed along the tube length. The influence of varying the surface texture of hydrophilic and hydrophobic polymer strips on the morphology of the regenerated neural tissue was analysed. Hydrophilic nitrocellulose (NC) and hydrophobic polyvinylidene fluoride (PVDF) films with smooth (S-NC and S-PVDF) or rough (R-NC, R-PVDF) surface texture were used. Five channels of each type were used to repair transected rat sciatic nerves and analysed after 4 wk. Tissue strips bridged the nerve stumps in all R-NC and R-PVDF tubes, in five of the S-NC and three of the S-PVDF tubes. In R-NC and R-PVDF tubes, bell-shaped tissue adhering to the polymer strip was observed, whereas in S-NC and S-PVDF tubes round, free-floating nerve cables were seen. All the cables contained myelinated and unmyelinated axons and Schwann cells grouped in microfascicles and surrounded by an epineurial layer. For both rough strips, the initial cell layer consisted of macrophages adhering to the polymer surface. The epineurial nerve tissue contacting the rough surface was significantly thinner for PVDF compared with NC strips. No difference in epineurial thickness was observed for nerves facing the silicone tube or for smooth NC and PVDF strips. S-PVDF tubes contained significantly more myelinated axons than S-NC tubes.(ABSTRACT TRUNCATED AT 250 WORDS)
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http://dx.doi.org/10.1016/0142-9612(91)90210-2 | DOI Listing |
Sci Rep
December 2024
Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, 02115, USA.
Cephalopods produce dynamic colors and skin patterns for communication and camouflage via stratified networks of neuronally actuated yellow, red, and brown chromatophore organs, each filled with thousands of pigment granules. While compositional analysis of chromatophore granules in Doryteuthis pealeii reveals the pigments as ommochromes, the ultrastructural features of the granules and their effects on bulk coloration have not been explored. To investigate this, we isolated granules from specific colored chromatophores and imaged them using multiple modalities.
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December 2024
School of Food Science and Engineering, and Natural Food Macromolecule Research Center, Shaanxi University of Science and Technology, Xi'an 710021, China. Electronic address:
Our previous research confirmed that resonance acoustic mixing (RAM) pretreatment effectively improved the emulsification and water retention of commercial pea protein isolate (PPI), but significantly reduced its gel performance. This study aimed to investigate the effect of transglutaminase (TGase, 0.1 %, 0.
View Article and Find Full Text PDFJ Food Sci
December 2024
College of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, China.
Excessive oxidation of protein and lipids in pork leads to quality degradation and loss of nutrients. Kappa-selenocarrageenan (Se-K) can not only be used as a selenium enhancer but also as an antioxidant. To explore potential antioxidants that could be applied to pork, the effect of Se-K on myofibrillar protein (MP) and lipid oxidation was investigated.
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December 2024
College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou, 325035, China.
As a critical component of aero-engines, the processing quality of the blade has a significant impact on the engine's overall performance and service life. First, from the perspective of double abrasive grains, two finite element models-simultaneous and sequential scratches-are established. The interaction between the two abrasive grains affects not only the polishing force and chip formation but also the surface morphology of the processed workpiece.
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December 2024
School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, 266520, China.
This paper presents a deep learning model based on an active learning strategy. The model achieves accurate identification of vegetation types in the study area by utilizing multispectral data obtained from preprocessing of unmanned aerial vehicle (UAV) remote sensing equipment. This approach offers advantages such as high data accuracy, mobility, and easy data collection.
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